1965 Preprocessing Jobs - Page 27

Requisition ID: 8238 Bangalore, India Our mission at Enphase Energy is to advance a sustainable future for all. Today, our intelligent microinverters, which turn sunlight into an affordable, safe, reliable, and scalable source of energy, work with virtually every solar panel made, and when paired with our award-winning smart battery technology, we engineer one of the industry's best-performing clean energy systems. To date, we have installed more than 48 million microinverters on more than 2.5 million systems across 140 countries and well over 50 thousand homes use our energy storage products. Like our customers, our innovative teams are also worldwide, making Enphase Energy a truly global company. We are one of the fastest growing and most dynamic energy companies in the world. Nimble and acutely focused on developing ground-breaking solar energy management technology, each of our teams has a shared goal of creating a carbon-free future. Do you want to help change the world? Learn more about the role: For our Customer Experience team, we seek Hands-On Staff Data Scientist who can work on designing & implementing high quality scalable optimization-based applications and platforms, while providing technical leadership and mentoring to a small team of talented developers in agile environment. Your ability to take ownership of architecture, design, and implementation of maintainable, high-quality, and high-performing Machine Learning systems and Optimization applications is essential for success in this role. Provide hands-on technical expertise to design, engineer, deploy, and deliver highly scalable optimization-based applications. Drive improvements in technical architecture, standards, and processes. Drive engineering excellence while managing/mentoring talented team of developers in agile environment. Work closely with product management and other stakeholders for system design and delivery. Job Description: As an Optimization and AI/ML Expert, you will be responsible for developing and implementing advanced machine learning models, optimization algorithms, and analytical tools. You will leverage your expertise to solve complex business problems by using data-driven approaches and predictive modelling techniques. The ideal candidate will have a strong background in AI/ML, optimization, Electrical Engineering domain and applied mathematics, with a passion for designing efficient solutions to tackle large-scale, real-world challenges. Responsibilities: Optimization & AI/ML Model Development : Design, develop, and implement AI/ML models and optimization algorithms to address business challenges and improve decision-making. Data Analysis & Feature Engineering : Work with large datasets to preprocess, analyze, and engineer features for model development. Ensure data quality and integrity. Performance Improvement : Apply optimization techniques (e.g., linear programming, constraint programming, heuristic algorithms) to optimize business operations, resource allocation, and other key processes. Collaboration & Problem-Solving : Collaborate with cross-functional teams, including data engineers, business analysts, and domain experts, to identify problems and translate them into solvable AI/ML models. Research & Innovation : Stay updated on the latest trends in optimization, machine learning, and AI research. Evaluate and apply emerging technologies and techniques to enhance system performance. Model Evaluation & Tuning : Conduct model evaluation using appropriate metrics, tune hyperparameters, and ensure that models perform optimally in production environments. Documentation & Reporting : Document the methodology, processes, and results of AI/ML projects. Communicate findings to stakeholders and contribute to technical reports or presentations. Deployment & Monitoring : Work with engineering teams to deploy AI/ML models into production. Monitor model performance and provide ongoing support for scalability and robustness. Required Skills & Qualifications: Experience : 5-10 years of experience in Electrical engineering with specialization in AI/ML, optimization, and data science with a proven track record of applying these skills to real-world business challenges. Strong Analytical Skills : Expertise in quantitative analysis, applied mathematics, and optimization algorithms (e.g., integer programming, dynamic programming, convex optimization). Proficiency in Programming : Strong programming skills in Python, R, and/or MATLAB. Experience with libraries like TensorFlow, PyTorch, Scikit-learn, or similar. Machine Learning Expertise : Deep understanding of supervised and unsupervised learning, reinforcement learning, and model validation techniques. Familiarity with deep learning and neural networks is a plus. Optimization Knowledge : Solid knowledge of optimization techniques for solving complex resource allocation, scheduling, or routing problems. Data Handling & Analysis : Experience with big data technologies (Hadoop, Spark), data preprocessing, and feature engineering techniques. Problem-Solving Mindset : Ability to translate business problems into mathematical models and find creative solutions. Communication Skills : Strong written and verbal communication skills to effectively convey technical concepts to non-technical stakeholders. Advanced Degree : A Master's or Ph.D. in Computer Science, Mathematics, Engineering, Operations Research, or a related field is highly desirable. Preferred Qualifications: Experience in the deployment and scaling of AI/ML models in production environments. Knowledge of cloud platforms such as AWS, Google Cloud, or Azure. Familiarity with optimization software/tools like Gurobi, CPLEX, or other commercial solvers. Experience with reinforcement learning and optimization in dynamic or uncertain environments.

5 - 7 Years 1 Opening Bangalore Role description UST Designation: Lead I - Data Science Requirement name: ML Engineer Who we are: At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact—touching billions of lives in the process. Visit us at . Summary: UST is looking for ML Engineer. The Opportunity: 1. Algorithm Development: Design, develop, and implement machine learning algorithms to address specific business challenges. Collaborate with cross-functional teams to understand requirements and deliver solutions that meet business objectives. 2. Data Analysis and Modeling: Perform exploratory data analysis to gain insights and identify patterns in large datasets. Build, validate, and deploy machine learning models for predictive and prescriptive analytics. 3. Feature Engineering: Extract and engineer relevant features from diverse datasets to enhance model performance. Optimize and fine-tune models for improved accuracy and efficiency. 4. Model Evaluation and Deployment: Conduct thorough evaluation of machine learning models using appropriate metrics. Deploy models into production environments, ensuring scalability, reliability, and performance. 5. Collaboration and Communication: Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders. Communicate complex technical concepts to non-technical stakeholders effectively. 6. Continuous Learning: Stay abreast of the latest developments in machine learning, data science, and related fields. Contribute to a culture of innovation by proposing and implementing new ideas and approaches. What you need: Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field. 5-6 years of hands-on experience in developing and deploying machine learning models. Proficiency in programming languages such as Python, R, or Java. Strong understanding of forecasting & revenue ERP environments (e.g.: Salesforce & SAP ECC) Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn). Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (e.g., Azure & AWS) and containerization tools (e.g., Docker, Kubernetes). Excellent problem-solving and critical-thinking skills. Effective communication and collaboration skills. What we believe : We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone, to champion diversity and inclusion and to place people at the centre of everything we do. Humility: We will listen, learn, be empathetic and help selflessly in our interactions with everyone. Humanity: Through business, we will better the lives of those less fortunate than ourselves. Integrity: We honour our commitments and act with responsibility in all our relationships. Equal Employment Opportunity Statement UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. • To support and promote the values of UST. Comply with all Company policies and procedures Skills Algorithm,Data Analysis,python,java Skills Algorithm,Data Analysis,python,java About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

Aufgaben What You will Do: Contribute to internal tools, data pipelines, or AI model development, Write clean and logical Python code to support analytics and ML workflows, Assist with data cleaning, preprocessing, and exploratory analysis, Learn industry practices in analytics, model validation, and reporting, Collaborate with cross-functional team members and participate in discussions. Qualifikationen What You will Do: Contribute to internal tools, data pipelines, or AI model development, Write clean and logical Python code to support analytics and ML workflows, Assist with data cleaning, preprocessing, and exploratory analysis, Learn industry practices in analytics, model validation, and reporting, Collaborate with cross-functional team members and participate in discussions. Mitarbeiterrabatte möglich Gesundheitsmaßnahmen Mitarbeiterhandy möglich Essenszulagen Betriebliche Altersversorgung Hybrides Arbeiten möglich Mobilitätsangebote Mitarbeiter Events Coaching Flexible Arbeitszeit möglich KontaktMercedes-Benz Research and Development India Private Limited Brigade Tech Gardens, Katha No. 119560037 BengaluruDetails zum Standort MBRDI Recruitment E-Mail: mbrdi_recruitment@mercedes-benz.com

Machine Learning Engineer – Applied AI & Scalable Model Deployment Location : Sector 63, Gurgaon – 100% In-Office Working Days : Monday to Friday, with 2nd and 4th Saturdays off Working Hours : 10:30 AM to 8:00 PM Experience : 2–6 years in machine learning engineering or applied data science roles Apply at : careers@darwix.ai Subject Line : Application – Machine Learning Engineer – [Your Name] About Darwix AI Darwix AI is India’s leading GenAI SaaS platform powering real-time sales enablement and conversational intelligence for large enterprise teams. Our products— Transform+ , Sherpa.ai , and Store Intel —support revenue teams in BFSI, retail, real estate, and healthcare by delivering multilingual voice analysis, real-time AI nudges, agent coaching, and in-store behavioral analytics. Darwix AI is redefining how large-scale human interactions drive revenue outcomes. As we expand rapidly across India, MENA, and Southeast Asia, we are strengthening our core ML engineering team to accelerate new feature development and production deployments. Role Overview As a Machine Learning Engineer , you will design, build, and operationalize robust ML models for real-time and batch processing workflows across Darwix AI’s product suite. Your work will span conversational intelligence, voice and text analytics, predictive scoring, and decision-support systems. You will collaborate closely with AI research engineers, backend teams, and product managers to translate business problems into scalable and maintainable ML pipelines. This is a hands-on, impact-first role focused on turning advanced ML models into production systems used by large enterprise teams daily. Key ResponsibilitiesModel Development & Training Design, build, and optimize models for tasks such as classification, scoring, topic detection, and conversation summarization. Work on feature engineering pipelines, data preprocessing, and large-scale training on structured and unstructured datasets. Evaluate model performance using robust metrics (accuracy, recall, precision, WER for voice tasks). Deployment & Productionization Package and deploy models as scalable APIs and microservices integrated with core product workflows. Optimize inference pipelines for latency, throughput, and cost in production environments. Work closely with DevOps and backend engineers to ensure robust CI/CD, monitoring, and auto-recovery workflows. Data & Pipeline Engineering Develop and maintain data pipelines to ingest, clean, transform, and label large volumes of voice and text data. Implement logging, data versioning, and audit trails to ensure traceable and reproducible experiments. Monitoring & Continuous Improvement Build automated evaluation frameworks to detect model drift and performance degradation. Analyze live production data to identify opportunities for iterative improvements and fine-tuning. Contribute to A/B testing design for model-driven features to validate business impact. Collaboration & Documentation Work with cross-functional teams to gather requirements, define success criteria, and drive end-to-end feature implementation. Maintain clear technical documentation for data flows, model architectures, and deployment processes. Mentor junior engineers on best practices in ML system design and operationalization. Required Skills & Qualifications 2–6 years of experience in ML engineering, applied ML, or data science with a strong focus on production systems. Proficiency in Python , including experience with ML libraries such as PyTorch, TensorFlow, Scikit-learn, or Hugging Face. Solid understanding of data preprocessing, feature engineering, and ML model lifecycle management. Experience deploying models as REST APIs or microservices in cloud or containerized environments. Strong knowledge of relational and NoSQL databases, and familiarity with data pipeline tools. Good understanding of MLOps concepts, including CI/CD for ML, model monitoring, and A/B testing. Preferred Qualifications Exposure to speech or voice analytics , including speech-to-text systems and audio signal processing. Familiarity with large language models (LLMs), embeddings, or retrieval-augmented generation (RAG) pipelines. Experience with distributed training, GPU optimization, or large-scale batch inference. Knowledge of vector databases (FAISS, Pinecone) and real-time recommendation systems. Prior experience in SaaS product environments targeting enterprise clients. Success in This Role Means Models integrated into production systems delivering measurable improvements to business KPIs. High availability, low-latency inference pipelines powering real-time features for large enterprise users. Rapid iteration cycles from model conception to production deployment. Strong, well-documented, and reusable ML infrastructure supporting ongoing product and feature launches. You Will Excel in This Role If You Are passionate about building ML systems that create real business impact, not just offline experiments. Enjoy working with noisy, multilingual, and large-scale datasets in high-stakes settings. Love solving engineering challenges involved in scaling AI solutions to thousands of enterprise users. Thrive in a fast-paced, ownership-driven environment where ideas translate quickly to live features. Value documentation, reproducibility, and collaboration as much as technical depth. How to Apply Email your updated CV to careers@darwix.ai Subject Line: Application – Machine Learning Engineer – [Your Name] (Optional): Include links to your GitHub, published papers, blog posts, or a short note on a real-world ML system you helped deploy and what challenges you overcame. This is a unique opportunity to join the core engineering team at one of India’s most innovative GenAI startups and shape how enterprise teams leverage AI for real-time decision-making and revenue growth. If you are ready to build AI at scale, Darwix AI wants to hear from you.

Role Overview : with a focus on AI, you will be responsible for developing scalable AI solutions, optimizing algorithms, and collaborating with cross-functional teams to enhance our product offerings. You will leverage your expertise in Python and machine learning frameworks to build and deploy AI models that drive business outcomes. Key Responsibilities: Skills required: Flask, Fast API , LAMBDA, AI-ML, LLM, Lambda, CNN, YOLO, OpenCV. Design, develop, and implement AI models and algorithms using Python. Collaborate with data scientists and other engineers to integrate AI capabilities into our products. Optimize and maintain existing AI systems to improve performance and accuracy. Conduct data preprocessing and feature engineering to prepare datasets for model training. Stay current with the latest advancements in AI technologies and methodologies. Write clean, maintainable, and efficient code while following best practices in software development. Participate in code reviews and contribute to team knowledge sharing. About US -: Webmobril is One of the top-notch IT companies based in Delhi, NCR; India and also established in the US. Offering exclusive and affordable Web, Mobile, and Game app development, Cyber Security Assessment, Digital Marketing services globally. Recently we started Staffing Services and Travel & Tourism services . We are a team of experienced, dedicated enthusiastic, innovative, and creative professionals to serve a range of business goals with our advanced tools and technologies. For more detail you can go through our company website: https://www.webmobril.com/

AIML Powered Triaging Framework Developer : Experience - 4 to 8 Years Location - Bangalore/Chennai Notice Period - Immediate or 30 days Scope of Work: Data Ingestion & Integration Preprocessing & Feature Engineering ML/AI Model Development Implement AI-powered workflows that: Trigger alerts for anomalous modems or clusters Suggest most probable root causes with supporting evidence Enable device grouping by failure signature or pattern similarity. Dashboard & Tooling

AI Engineer – Voice, NLP, and GenAI Systems Location : Sector 63, Gurgaon – 100% In-Office Working Days : Monday to Friday, with 2nd and 4th Saturdays off Working Hours : 10:30 AM to 8:00 PM Experience : 2–6 years in AI/ML, NLP, or applied machine learning engineering Apply at : careers@darwix.ai Subject Line : Application – AI Engineer – [Your Name] About Darwix AI Darwix AI is India’s fastest-growing GenAI SaaS platform transforming how enterprise sales, field, and support teams engage with customers. Our suite— Transform+ , Sherpa.ai , and Store Intel —powers real-time multilingual voice analytics, AI nudges, coaching systems, and computer vision analytics for major enterprises across India, MENA, and Southeast Asia. We work with some of the largest names such as Aditya Birla Capital, Sobha, GIVA, and Bank Dofar. Our systems process thousands of daily conversations, live call transcripts, and omnichannel data to deliver actionable revenue insights and in-the-moment enablement. Role Overview As an AI Engineer , you will play a key role in designing, developing, and scaling AI and NLP systems that power our core products. You will work at the intersection of voice AI, natural language processing (NLP), large language models (LLMs), and speech-to-text pipelines. You will collaborate with product, backend, and frontend teams to integrate ML models into production workflows, optimize inference pipelines, and improve the accuracy and performance of real-time analytics used by enterprise sales and field teams. Key ResponsibilitiesAI & NLP System Development Design, train, fine-tune, and deploy NLP models for conversation analysis, scoring, sentiment detection, and call summarization. Work on integrating and customizing speech-to-text (STT) pipelines (e.g., WhisperX, Deepgram) for multilingual audio data. Develop and maintain classification, extraction, and sequence-to-sequence models to handle real-world sales and service conversations. LLM & Prompt Engineering Experiment with and integrate large language models (OpenAI, Cohere, open-source LLMs) for live coaching and knowledge retrieval use cases. Optimize prompts and design retrieval-augmented generation (RAG) workflows to support real-time use in product modules. Develop internal tools for model evaluation and prompt performance tracking. Productionization & Integration Build robust model APIs and microservices in collaboration with backend engineers (primarily Python, FastAPI). Optimize inference time and resource utilization for real-time and batch processing needs. Implement monitoring and logging for production ML systems to track drift and failure cases. Data & Evaluation Work on audio-text alignment datasets, conversation logs, and labeled scoring data to improve model performance. Build evaluation pipelines and create automated testing scripts for accuracy and consistency checks. Define and track key performance metrics such as WER (word error rate), intent accuracy, and scoring consistency. Collaboration & Research Work closely with product managers to translate business problems into model design requirements. Explore and propose new approaches leveraging the latest research in voice, NLP, and generative AI. Document research experiments, architecture decisions, and feature impact clearly for internal stakeholders. Required Skills & Qualifications 2–6 years of experience in AI/ML engineering, preferably with real-world NLP or voice AI applications. Strong programming skills in Python , including libraries like PyTorch, TensorFlow, Hugging Face Transformers. Experience with speech processing , audio feature extraction, or STT pipelines. Solid understanding of NLP tasks: tokenization, embedding, NER, summarization, intent detection, sentiment analysis. Familiarity with deploying models as APIs and integrating them with production backend systems. Good understanding of data pipelines, preprocessing techniques, and scalable model architectures. Preferred Qualifications Prior experience with multilingual NLP systems or models tuned for Indian languages. Exposure to RAG pipelines , embeddings search (e.g., FAISS, Pinecone), and vector databases. Experience working with voice analytics, diarization, or conversational scoring frameworks. Understanding of DevOps basics for ML (MLflow, Docker, GitHub Actions for model deployment). Experience in SaaS product environments serving enterprise clients. Success in This Role Means Accurate, robust, and scalable AI models powering production workflows with minimal manual intervention. Inference pipelines optimized for enterprise-scale deployments with high availability. New features and improvements delivered quickly to drive direct business impact. AI-driven insights and automations that enhance user experience and boost revenue outcomes for clients. You Will Excel in This Role If You Love building AI systems that create measurable value in the real world, not just in research labs. Enjoy solving messy, real-world data problems and working on multilingual and noisy data. Are passionate about voice and NLP, and constantly follow advancements in GenAI. Thrive in a fast-paced, high-ownership environment where ideas quickly become live features. How to Apply Email your updated CV to careers@darwix.ai Subject Line: Application – AI Engineer – [Your Name] (Optional): Share links to your GitHub, open-source contributions, or a short note about a model or system you designed and deployed in production. This is an opportunity to build foundational AI systems at one of India’s fastest-scaling GenAI startups and to impact how large enterprises engage millions of customers every day. If you are ready to transform how AI meets revenue teams—Darwix AI wants to hear from you.

Job Title: Applied AI Engineer – Fresher (IIT/NIT Graduates Only) Job Type: Full-Time Experience: 0–1 Year Location: Vapi Gujarat Role Overview: We are seeking high-potential graduates from IITs or NITs for the role of Applied AI Engineer (Fresher) to join our cutting-edge AI Engineering team. This opportunity is ideal for someone with a solid foundation in Data Structures & Algorithms , strong problem-solving skills, and a passion for AI, machine learning, and deep learning technologies. Please note: A minimum 3-year commitment with the company is required for this position. Key Responsibilities: Collaborate with senior engineers and data scientists to design and implement AI-driven solutions. Develop, optimize, and deploy machine learning and deep learning models. Translate abstract AI challenges into efficient, scalable, and production-ready code. Contribute to data preprocessing, feature engineering, and model evaluation tasks. Participate in technical discussions, code reviews, and performance tuning. Explore and experiment with state-of-the-art AI frameworks, architectures, and research trends. Maintain clear technical documentation for models, codebases, and system designs. Required Skills: Exceptional problem-solving abilities with a strong command of Data Structures and Algorithms . Proficiency in Python and its core libraries (NumPy, Pandas, scikit-learn). Fundamental understanding of machine learning concepts , including model training, evaluation, and overfitting. Exposure to deep learning frameworks such as TensorFlow or PyTorch . Good grasp of object-oriented programming and software engineering principles. Strong analytical, logical thinking, and mathematical skills. Demonstrated passion for AI and a continuous learning mindset. Preferred Qualifications (Nice to Have): Hands-on experience with AI/ML projects through internships, research, or hackathons. Familiarity with Reinforcement Learning , NLP , or Computer Vision . Knowledge of Git , Docker , and experience with cloud platforms (AWS, GCP, or Azure). Open-source contributions or published research in AI/ML domains. Educational Qualifications: B.E./B.Tech/M.Tech in Computer Science , Artificial Intelligence , Machine Learning , or Data Science from IITs or NITs only . Strong academic record with a demonstrated interest in AI/ML through coursework, projects, or independent initiatives. How to Apply: Interested candidates can share their CVs at jignesh.pandoriya@merillife.com Join us and help shape the future of intelligent systems—where your innovation will directly impact lives.

Intern(AI) Internship Overview: Are you deeply fascinated by the power of Generative AI to create novel content or the ability of Computer Vision to make sense of the visual world? We're looking for enthusiastic and talented AI Interns passionate about these cutting-edge fields to join our team. This internship offers a unique opportunity to gain hands-on experience by working on real-world projects, contributing to innovative solutions in visual intelligence and content generation, and learning from experienced professionals. You'll play a crucial role in supporting our advanced AI initiatives from data preparation to model deployment. What You'll Do: As an AI Intern with a focus on Generative AI and Computer Vision technologies, you'll work closely with our Data Science Engineers, contributing to various stages of the AI development lifecycle. Your responsibilities may include: Data Preparation & Annotation: Assist in collecting, cleaning, preprocessing, and annotating large visual and textual datasets tailored for Generative AI and Computer Vision models. Model Experimentation & Evaluation: Conduct experiments to test, evaluate, and fine-tune AI models for accuracy, performance, and scalability, with a focus on metrics relevant to generative and visual tasks. Research & Exploration: Research the latest advancements, architectures, and techniques in Generative AI (e.g., Transformers, Stable Diffusion, multimodal models) and Computer Vision (e.g., Vision Transformers). Prototyping & Implementation: Help in building prototypes and integrating Generative AI, Computer Vision, ML & Automation solutions into existing systems or applications. Generative AI Development: Assist in evaluating, fine-tuning Large Language Models (LLMs) , Diffusion Models for tasks like image synthesis, text generation, code generation, or data augmentation. Experiment with prompt engineering techniques to optimize outputs from generative models. Explore new patterns, techniques in Agentic workflows, MCP etc Explore and implement techniques for controlling generated content and ensuring model safety/alignment. Computer Vision Solutions: Contribute to the development of Computer Vision models for tasks such as object detection , image segmentation , image classification , facial recognition , or video analysis . Work on data augmentation strategies specifically for visual datasets to improve model robustness. Implement and evaluate advanced image and video processing techniques. Documentation: Maintain clear and concise documentation of experiments, model development processes, and results. Collaboration: Actively participate in team discussions, brainstorm new ideas, and collaborate with cross-functional teams to align AI solutions with business objectives. Who can apply: Recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning Strong foundational understanding of core AI and Machine Learning concepts and algorithms. Demonstrated interest or project experience in Generative AI (e.g., LLMs, GANs, VAEs, Diffusion Models) or Computer Vision (e.g., CNNs, object detection, image segmentation) Proficiency in at least one programming language, preferably Python, and familiarity with relevant libraries related to Generative AI, CV & General Machine Learning / Deep Learning Excellent analytical and problem-solving skills, with a keen eye for detail in visual data and model outputs. Strong communication and teamwork skills, with the ability to articulate technical concepts clearly. A strong desire to learn, adapt, and contribute in a fast-paced environment focused on innovation. About Cognologix: Cognologix helps companies disrupt by reimagining their business models and innovate like a Startup. We are at the forefront of digital disruption and take a business first approach to help meet our client’s strategic goals. We are an Data focused organization helping our clients to deliver their next generation of products in the most efficient, modern and cloud-native way.

Research scholar Location: Hybrid (New Delhi and Mandi) About the Role We are seeking a motivated and detail-oriented Associate Neuroimaging Researcher to support cutting-edge research in multimodal neuroimaging, including EEG, fNIRS, and fMRI. The ideal candidate will contribute to experimental design, data acquisition, preprocessing, and analysis for ongoing and upcoming neuroscience research projects. Key Responsibilities Assist in the setup and execution of ongoing neuroimaging study using EEG, fNIRS, and fMRI modalities. Support data acquisition, quality control, preprocessing, and post processing workflows. Perform neural signal processing and data analysis using software tools such as MATLAB, Python, EEGLAB, MNE-Python, Brainstorm, SPM, or similar. Support development of AI models for specific research objectives related to resolution enhancement and improved neural sources localization Maintain accurate documentation of experimental protocols, data logs, and research findings. Support preparation of manuscripts, grant applications, and technical reports. Required Qualifications Master’s (with 2-4 years of experience) in Neuroscience, Biomedical Engineering, Computer science, Electrical engineering, Psychology, or a related field. Hands-on experience with at least two neuroimaging modalities (EEG, fNIRS, or fMRI). Familiarity with signal processing and neuroimaging data analysis techniques. Proficiency in programming (e.g., Python, MATLAB, R). Strong analytical skills and attention to detail. Preferred Qualifications Experience with multimodal data integration. Knowledge of neuroanatomy and brain function. Prior involvement in human subject research Excellent communication and organizational skills.

Job Overview We are seeking a highly skilled and experienced AI/ML, Generative AI Lead to join our prestigious insurance company. The successful candidate will lead a dynamic team of AI/ML professionals, driving the development and implementation of AI and machine learning solutions tailored for the insurance domain. This role is central to our strategy of enhancing operational efficiency, improving customer experience, and pioneering innovative insurance products. Key Responsibilities Leadership and Team Management: Lead, mentor, and manage a team of AI/ML engineers and data scientists, fostering a collaborative and high-performance culture. Strategy Development: Develop and implement AI/ML strategies aligned with the company's business goals and objectives. AI/ML Solutions: Design, develop, and deploy AI and machine learning models to solve complex problems in underwriting, claims processing, fraud detection, customer service, and personalized marketing. Generative AI: Explore and implement generative AI techniques to create novel solutions for product development, risk assessment, and customer engagement. Data Management: Oversee the collection, preprocessing, and analysis of large datasets to ensure data quality and integrity. Stakeholder Collaboration: Work closely with cross-functional teams, including product managers, actuaries, and IT departments, to ensure successful integration and adoption of AI/ML solutions. Research and Innovation: Stay updated with the latest advancements in AI/ML and generative AI, and drive continuous innovation within the team. Compliance and Ethics: Ensure all AI/ML solutions comply with industry regulations and ethical standards. Performance Monitoring: Implement monitoring and evaluation frameworks to assess the impact and performance of AI/ML models. Innovation & POC Development Lead the development and execution of innovative analytics solutions and Proof-of-Concept (POC) projects. Collaborate with cross-functional teams to identify impactful use cases and prototype solutions. Business Alignment & Outcome Metrics Work with business stakeholders to establish success metrics and key performance indicators (KPIs) for analytics initiatives. Ensure analytics solutions align with strategic business objectives and regulatory requirements. POC Adoption & Change Management Promote the transition of successful POCs into production environments. Develop and implement change management strategies to secure stakeholder support and ongoing usage. Technical Leadership & Team Oversight Provide technical guidance and mentorship to data scientists and analysts. Review and approve analytical models, code, and methodologies to ensure their robustness and scalability. Strategic Research & Future Tech Exploration Stay informed about emerging technologies in AI/ML, GenAI, and other relevant future tech for the insurance industry. Conduct strategic research and feasibility studies to evaluate potential applications and business impact. Qualifications Education: Master’s in Computer Science, Data Science, Machine Learning, or a related field. Experience: Minimum of 5 years of experience in AI/ML, with at least 3 years in a leadership role. Technical Skills: Proficiency in programming languages such as Python, R, and Java; experience with AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Cloud Tech : Azure, GCP ,AWS . Preferable is Azure Domain Knowledge: Expertise in the insurance domain, with a strong understanding of industry-specific challenges and opportunities. Analytical Skills: Strong problem-solving skills with the ability to analyze complex data and generate actionable insights. Communication Skills: Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders. Project Management: Demonstrated experience in managing large-scale AI/ML projects from conception to deployment. Innovation: Proven track record of driving innovation and staying abreast of emerging technologies in AI/ML and generative AI.

Greetings and thank you for visiting our job post. Supercoder is an AI-powered career development platform to connect developers around the world to remote job opportunities with competitive payment. Type of role : 100% Full-time remote Company Introduction: We are an online content brokerage platform that enables content creators to buy and sell their videos seamlessly. Our platform allows creators to upload videos, and users pay per view. We aim to enhance content discovery by leveraging advanced AI-driven recommendation systems to provide personalized viewing experiences for our users. Job Overview: We are seeking a Machine Learning Engineer to develop and improve our video recommendation system. You will work on large-scale data pipelines, AI-driven algorithms, and cloud-based model deployments to enhance user engagement and content discoverability. Key Responsibilities: Develop and implement recommendation algorithms using user behavior data and video metadata to personalize content discovery. Design and build large-scale data pipelines for data collection, preprocessing, storage, and analysis. Utilize ML/DL frameworks such as TensorFlow, PyTorch, and Scikit-learn for model development, testing, and deployment. Optimize model performance through A/B testing, statistical analysis, and iterative improvements. Deploy and monitor production-ready models in cloud environments like Docker and AWS. Collaborate with software engineers and data scientists to improve existing services and develop new platform features. Required Skills & Qualifications: Proficiency in SQL for data querying and processing. Experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn). Knowledge of distributed systems & streaming platforms (e.g., Kafka) is a plus. Strong understanding of data structures, algorithms, and statistical methods. Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker). Ability to work collaboratively in a team environment and adapt to new challenges. Preferred Qualifications: Experience working with recommendation systems or large-scale personalization models. Strong software engineering skills in Python or a similar language. Prior experience with A/B testing methodologies and model evaluation.

Lead Data Scientist We are looking for 8+years experienced candidates for this role. Job Description A minimum of 8 years of professional experience, with at least 6 years in a data science role. Strong knowledge of statistical modeling, machine learning, deep learning and GenAI. Proficiency in Python and hands on experience optimizing code for performance. Experience with data preprocessing, feature engineering, data visualization and hyperparameter tuning. Solid understanding of database concepts and experience working with large datasets. Experience deploying and scaling machine learning models in a production environment. Familiarity with machine learning operations (MLOps) and related tools. Good understanding of Generative AI concepts and LLM finetuning. Excellent communication and collaboration skills. Responsibilities include: Lead a high performance team, guide and mentor them on the latest technology landscape, patterns and design standards and prepare them to take on new roles and responsibilities. Provide strategic direction and technical leadership for AI initiatives, guiding the team in designing and implementing state-of-the-art AI solutions. Lead the design and architecture of complex AI systems, ensuring scalability, reliability, and performance. Lead the development and deployment of machine learning/deep learning models to address key business challenges. Apply statistical modeling, data preprocessing, feature engineering, machine learning, and deep learning techniques to build and improve models. Utilize expertise in at least two of the following areas: computer vision, predictive analytics, natural language processing, time series analysis, recommendation systems. Design, implement, and optimize data pipelines for model training and deployment. Experience with model serving frameworks (e.g., TensorFlow Serving, TorchServe, KServe, or similar). Design and implement APIs for model serving and integration with other systems. Collaborate with cross-functional teams to define project requirements, develop solutions, and communicate results. Mentor junior data scientists, providing guidance on technical skills and project execution. Stay up-to-date with the latest advancements in data science and machine learning, particularly in generative AI, and evaluate their potential applications. Communicate complex technical concepts and analytical findings to both technical and non-technical audiences. Serves as a primary point of contact for client managers and liaises frequently with internal stakeholders to gather data or inputs needed for project work Certifications : Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, computer science, or a related area. Primary Skills : Python Data Science concepts Pandas, NumPy, Matplotlib Artificial Intelligence Statistical Modeling Machine Learning, Natural Language Processing (NLP), Deep Learning Model Serving Frameworks (e.g., TensorFlow Serving, TorchServe) MLOps(e.g; MLflow, Tensorboard, Kubeflow etc) Computer Vision, Predictive Analytics, Time Series Analysis, Anomaly Detection, Recommendation Systems (Atleast 2) Generative AI, RAG, Finetuning(LoRa, QLoRa) Proficent in any of Cloud Computing Platforms (e.g., AWS, Azure, GCP) Secondary Skills : Expertise in designing scalable and efficient model architectures is crucial for developing robust AI solutions. Ability to assess and forecast the financial requirements of data science projects ensures alignment with budgetary constraints and organizational goals. Strong communication skills are vital for conveying complex technical concepts to both technical and non-technical stakeholders.

🏢 Company Description Live Eye Surveillance is a U.S.-focused AI surveillance and remote monitoring company, headquartered in Seattle with technology operations in India. We specialize in real-time, proactive security solutions for retail, QSRs, warehouses, and commercial spaces. Our in-house AI-powered Video Management Software (VMS) integrates advanced IP camera systems, intelligent video analytics, live audio deterrence, and 24/7 human monitoring to deter crime before it happens. With enterprise-grade infrastructure and a commitment to reducing shrinkage, liability, and manpower costs, Live Eye is redefining modern surveillance for multi-location businesses. ⸻ 💼 Role: AI/ML Lead – Facial Recognition & Video Intelligence Location: Karnal, Haryana Employment Type: Full-Time Experience: 3+ Years in AI/ML, Computer Vision, and Team Leadership ⸻ 🧠 Role Description We are looking for an AI/ML Lead to spearhead the development of cutting-edge Facial Recognition, Object Detection, and Video Intelligence features for our proprietary VMS platform. You will lead the research, development, and optimization of AI models deployed across real-time IP camera feeds. You’ll also manage a small team of AI/ML engineers and work closely with our backend, frontend, and mobile teams to build scalable, production-ready AI modules that directly impact global security operations. ⸻ 🧪 Responsibilities • Build and deploy production-grade models for facial recognition, object/person detection, and activity recognition • Optimize AI pipelines for real-time performance and edge device compatibility • Lead, mentor, and manage a small AI/ML engineering team • Collaborate with product managers, software engineers, and cloud architects to integrate AI modules into the VMS platform • Stay on top of the latest developments in deep learning and computer vision research • Ensure model accuracy, efficiency, and scalability across diverse real-world environments ⸻ 🔧 Required Qualifications • 3+ years of hands-on experience in Machine Learning and Deep Learning (preferably in Computer Vision) • Proficiency in Python, TensorFlow/PyTorch, OpenCV, and relevant DL libraries • Strong background in building models for facial recognition (FaceNet, ArcFace, etc.) and object detection (YOLO, SSD, Faster R-CNN) • Experience with ONNX, TensorRT, or other optimization tools for edge inference • Experience integrating AI models with IP camera feeds (RTSP/ONVIF protocols preferred) • Solid understanding of data preprocessing, model evaluation, and tuning • Strong communication, problem-solving, and team leadership skills • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field ⸻ 🌐 Nice to Have • Experience with Jetson Nano/Xavier, Edge TPUs, or other AI hardware • Background in surveillance systems, security platforms, or VMS architecture • Familiarity with cloud platforms like AWS, Azure, or GCP • Experience with Docker, Git, and CI/CD for deploying ML models ⸻ 🌟 What We Offer • Leadership opportunity in a rapidly growing AI security tech company • Hands-on role in building core IP for our next-gen surveillance platform • Flexible hybrid work setup with direct impact on global deployments • Competitive compensation and opportunity for fast growth ⸻ 📩 To apply: Send your resume to careers@myliveeye.com 🌐 Visit: www.myliveeye.com

Overview: Location: Remote (ZENO TALENT, Chennai, India) Stipend: Performance-based stipend up to ₹15,000 Duration: 6 months Mode: Remote Immediate Joining: Yes Preferred Candidates: Freshers, Pre-Final Year Graduates, Final Year Graduates, Recent Graduates About the Internship: At ZENO TALENT, we are committed to shaping the future of artificial intelligence by nurturing aspiring talent. Our 6-month AI/ML Internship Program is a structured pathway designed to empower freshers and early professionals with practical experience, hands-on projects, and direct mentorship from industry experts. Skill Development Stage (First 3 Months): Interns will participate in structured learning sessions and practical assignments under the mentorship of experienced professionals. This phase focuses on building strong industry-relevant skills through hands-on training and interactive guidance. Project Implementation Stage (Next 3 Months): After successful completion of the skill development phase, interns will work on live projects within our teams. Performance during this phase will determine eligibility for a stipend of up to ₹15,000, based on contributions and achievements. Throughout the internship, daily feedback, mentoring, and skill-building exercises will help interns grow and prepare for professional roles. Responsibilities: Work on real-world AI/ML development projects under mentor supervision. Assist in data preprocessing, model building, and testing using AI/ML algorithms. Collaborate with cross-functional teams to deliver effective AI/ML solutions. Participate actively in AI/ML code reviews, daily discussions, and task updates. Continuously learn, adapt, and apply new AI/ML techniques and methodologies. What We Offer: Performance-based stipend up to ₹15,000 during the active project phase. Remote work flexibility throughout the internship. Daily mentorship and performance reviews for continuous growth. Certificates of Internship Completion and Professional Contribution upon successful completion. Top performers will be considered for full-time fresher roles with starting salaries up to ₹20,000/month, along with scheduled performance-based hikes. Eligibility Criteria: Pre-Final Year Graduates, Final Year Graduates, Recent Graduates, or Freshers passionate about a career in technology. Willingness to learn and adapt in a fast-paced environment. Basic programming knowledge (any language). Availability to commit full-time (Monday to Friday) for the entire 6-month duration. About Zeno Talent: Zeno Talent is a dynamic organisation specialising in talent development, industry-aligned training, and data-driven IT solutions. We provide hands-on training in Data Science, AI/ML, and emerging technologies, along with internship programs designed to prepare candidates for real-world challenges.

MADURAI UI Developer - Experienced Job Summary We are looking for a Front-End UI Developer who is motivated to combine the art of design with the art of programming. Responsibilities will include translation of the UI/UX design wireframes to actual code that will produce visual elements of the application. You will work with our UI/UX designers to bridge the gap between graphical design and technical implementation, taking an active role on both sides and defining how the application looks as well as how it works. Preferred Skills One to Two years of experience as a UI developer and proven track record. Present strong portfolio during the interview. Proficient understanding of client-side scripting and JavaScript frameworks, including jQuery. Understanding of web markup (including HTML5, CSS3) and server-side CSS preprocessing platforms, such as LESS and SASS. Proficient understanding of frameworks, such as AngularJS, BackboneJS, ReactJS, etc. Creative ideas with a problem-solving mindset. Responsibilities Work as a member of our in-house designing team as a front-end web developer. Help create, maintain, and extend web and mobile solutions for our international clients. Implement responsive design for mobile sites. Contribute some back-end experience, collaborating on APIs, and more. Test the site during development for usability and fix any bugs. Added advantage: Experience using tools such as Photoshop, Sketch, Illustrator, InVision.

About Slideoo AI We’re building a next-generation AI Office Suite to help professionals work faster and smarter. Slideoo addresses the productivity gap between information retrieval and content creation. It allows users to consolidate knowledge from internal tools and turn it into engaging presentations, reports and other types of documents. Internship Job Requirement : We are seeking a motivated intern to join our team, working on cutting-edge machine learning and data science projects. The role focuses on developing agentic systems using Python and FastAPI, with hands-on applications in machine learning and data science. Knowledge of transformer architectures is essential, and familiarity with cloud deployment is a plus. Responsibilities Develop and implement agentic systems using Python and FastAPI. Design, train, and evaluate machine learning models for real-world data science use cases. Collaborate on projects involving transformer-based architectures (e.g., BERT, GPT). Preprocess and analyze datasets to support model development. Document code, experiments, and findings clearly and concisely. (Optional) Assist in deploying models to cloud platforms. Required Qualifications Proficiency in Python programming. Experience with FastAPI for building APIs. Hands-on experience in machine learning and data science use cases (e.g., classification, regression, NLP). Strong understanding of transformer architectures (e.g., attention mechanisms, BERT, GPT). Familiarity with libraries like TensorFlow, PyTorch, scikit-learn, pandas, and NumPy. Basic knowledge of data preprocessing, feature engineering, and model evaluation. Strong problem-solving skills and eagerness to learn. Preferred Qualifications Experience with cloud deployment (e.g., AWS, Azure, GCP) is a plus. Knowledge of version control systems (e.g., Git). Exposure to agentic system design principles. Requirements Current enrollment in a Bachelor’s or Master’s program in Computer Science, Data Science, or a related field. Availability to work full-time for 4-6 months. Portfolio or GitHub showcasing relevant projects (e.g., ML models, FastAPI apps, transformer implementations). 📌 Internship Details 📍 Location: Hybrid – Bengaluru (remote, with in-person syncs weekly) 💸 Stipend: ₹20,000–₹25,000/month 📅 Duration: 4 to 6 months 🎯 Full-time role opportunity post-internship based on performance

Paid AI Engineer Intern Location: Ahmedabad, India (On-site) Employment Type: Part-time Internship (with strong potential for full-time conversion) About Cleardeals: At Cleardeals, we're revolutionizing the real estate landscape through technology. We believe in leveraging innovation to create seamless and efficient experiences for buyers and sellers. As we continue to grow and expand our impact, we're now embarking on an exciting journey to integrate Artificial Intelligence into the core of our operations and offerings. About the Role: We are seeking an exceptionally motivated and bright AI Engineer Intern to work directly alongside our Founder and CEO. This is a unique, hands-on opportunity for an "AI nerd" to be instrumental in shaping the future of AI applications in the real estate industry at Cleardeals. You won't just be an intern; you'll be the Founder's right hand, driving real-world AI initiatives from conception to execution. This is a part-time position designed for individuals ready to make a significant impact, with a clear pathway to a full-time role based on commitment and impactful contributions. What You'll Do: Research & Ideation: Dive deep into the potential of AI within the real estate sector. Identify pain points and opportunities where AI can drive efficiency, enhance user experience, and create new value propositions. Proof-of-Concept Development: Build, prototype, and experiment with AI models and algorithms. This could involve anything from predictive analytics for property valuation to intelligent automation for lead generation or customer interaction. Automation Building: Design and implement AI-powered automations to streamline internal processes or enhance external services for our customers. Data Exploration: Work with real-world real estate data, performing cleaning, preprocessing, and feature engineering to prepare it for AI model training. Collaboration: Work closely with the Founder to translate high-level vision into actionable AI projects, contributing ideas and insights. Execution: See your research and prototypes come to life as you help deploy and refine AI solutions within our platform. What We're Looking For: Education: Currently pursuing or recently completed a B.Tech in Computer Engineering (CE). AI Enthusiasm: A genuine, demonstrable passion for Artificial Intelligence and Machine Learning. You live and breathe AI. Programming Skills: Solid proficiency in Python, including relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). Foundational Knowledge: Understanding of core AI/ML concepts, algorithms, and techniques (e.g., supervised/unsupervised learning, neural networks, NLP, computer vision basics). Problem-Solving: Strong analytical and critical thinking skills with an ability to break down complex problems and devise creative AI solutions. Initiative & Proactiveness: Eagerness to take ownership, learn quickly, and contribute actively without constant supervision. Communication: Clear and concise communication skills to articulate technical concepts and progress. On-site Commitment: Willingness to work from our office in Ahmedabad. Why Join Cleardeals? Direct Impact: Work directly with the Founder and see your contributions shape a growing company's AI strategy. Real-World Experience: Gain invaluable hands-on experience by building and deploying AI solutions for a tangible industry. Mentorship: Receive direct mentorship and guidance from an experienced founder. Growth Potential: A clearly defined path for a full-time role upon successful completion of the internship. Innovative Environment: Be part of a dynamic team at the forefront of AI adoption in real estate. Paid Internship: Competitive stipend for your valuable contributions. If you are an "AI nerd" ready to roll up your sleeves and make a significant impact in the exciting intersection of AI and Real Estate, we want to hear from you!

Role : Associate Architect - Machine Learning (Gen AI) Experience : 6 to 8 Years Location : Bangalore / Mumbai (Hybrid) Job Summary: We are looking for an experienced Associate Architect - Machine Learning to join our team, focused on building Agentic AI workflows, fine-tuning Large Language Models (LLMs), performing prompt engineering, and applying related generative AI techniques. The ideal candidate will have expertise in cutting-edge AI technologies and the ability to design, develop, and deploy AI solutions that can autonomously perform tasks with minimal human intervention. Roles and Responsibilities: Agentic AI Development : Design, develop, and optimize domain adaptive agentic AI systems that helps in automating business processes LLM Fine-Tuning : Work with large-scale pre-trained models (like Llama, Mistral etc.) to fine-tune with techniques like PEFT, SFT and adapt them for specific applications and domains. Evaluate and Optimize for performance, accuracy, and efficiency. Prompt Engineering : Design prompts with techniques like Chain of Thought, Few Shot to enhance model responses, ensuring that model outputs are aligned with use case requirements. AI Workflow Automation : Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments. Collaboration with Cross-functional Teams : Work closely with data scientists, software engineers, and product managers to define AI product requirements and deliver innovative solutions. Research & Development : Stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields to ensure that the organization stays at the forefront of technology. Scaling and Deployment : Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments. Documentation & Reporting : Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders. Skill Set Required: Experience : Minimum 5+ years of hands-on experience in machine learning and AI engineering. Proven track record in working with LLMs such as Llama, Mistral and models like GPT, BERT, T5, or similar. Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows. Strong experience in prompt engineering to optimize AI models performance. Technical Skills : Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks. Proficiency in building agentic workflows with tools like Langgraph, CrewAI, Autogen, PhiData or similar. Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models. Experience with NLP tasks, such as text classification, text generation, summarization, and question answering. Knowledge of reinforcement learning, multi-agent systems, or other autonomous decision-making frameworks. Familiarity with SDLC life cycle , data processing tools (e.g., Pandas, NumPy, etc.) and version control (e.g., Git). Soft Skills : Strong problem-solving and analytical skills. Excellent communication and teamwork abilities to collaborate with stakeholders. Ability to work independently and drive projects to completion with minimal supervision. Preferred Skills & Qualifications: Experience in deploying AI models at scale in production environments. Expertise in large-scale data processing, optimization techniques, and model deployment.

Role : Senior Machine Learning Engineer (GenAI) Required Experience : 3 to 6 years Location : Mumbai / Bangalore / Trivandrum (hybrid) Job Summary: We are looking for experienced Machine Learning Engineers to join our team, focused on building Agentic AI workflows, fine-tuning Large Language Models (LLMs), performing prompt engineering, and applying related generative AI techniques. The ideal candidate will have expertise in cutting-edge AI technologies and the ability to design, develop, and deploy AI solutions that can autonomously perform tasks with minimal human intervention. Roles & Responsibilities: Agentic AI Development: Design, develop, and optimize domain adaptive agentic AI systems that helps in automating business processes LLM Fine-Tuning: Work with large-scale pre-trained models (like Llama, Mistral etc.) to fine-tune with techniques like PEFT, SFT and adapt them for specific applications and domains. Evaluate and Optimize for performance, accuracy, and efficiency. Prompt Engineering: Design prompts with techniques like Chain of Thought, Few Shot to enhance model responses, ensuring that model outputs are aligned with use case requirements. AI Workflow Automation: Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments. Collaboration with Cross-functional Teams: Work closely with data scientists, software engineers, and product managers to define AI product requirements and deliver innovative solutions. Research & Development: Stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields to ensure that the organization stays at the forefront of technology. Scaling and Deployment: Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments. Documentation & Reporting: Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders. Required Skills & Qualifications: Experience: 3+ years of hands-on experience in machine learning and AI engineering. Proven track record in working with LLMs such as Llama, Mistral and models like GPT, BERT, T5, or similar. Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows. Strong experience in prompt engineering to optimize AI models performance. Technical Skills: Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks. Proficiency in building agentic workflows with tools like Langgraph, CrewAI, Autogen, PhiData or similar. Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models. Experience with NLP tasks, such as text classification, text generation, summarization, and question answering. Knowledge of reinforcement learning, multi-agent systems, or other autonomous decision-making frameworks. Familiarity with SDLC life cycle , data processing tools (e.g., Pandas, NumPy, etc.) and version control (e.g., Git). Soft Skills: Strong problem-solving and analytical skills. Excellent communication and teamwork abilities to collaborate with stakeholders. Ability to work independently and drive projects to completion with minimal supervision. Good to Have Skills: Experience in deploying AI models at scale in production environments. Expertise in large-scale data processing, optimization techniques, and model deployment.

Job Title : Machine Learning Engineer (NLP & Graph Analytics) Company Overview FWS is at the forefront of innovation in AI and ML .We are dedicated to solving complex challenges and creating impactful solutions through the power of artificial intelligence and machine learning. Our team is composed of passionate and driven experts who are committed to pushing the boundaries of what's possible. We are currently seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team and contribute to our next generation of intelligent products. Job Summary We are looking for an experienced Machine Learning Engineer with a strong background in building and deploying sophisticated machine learning models. The ideal candidate will have a proven track record of working with diverse datasets, a deep understanding of natural language processing (NLP), and hands-on experience with state-of-the-art deep learning frameworks. In this role, you will be responsible for the entire lifecycle of machine learning model development, from data acquisition and preprocessingincluding JSON extraction and graph database modeling with Neo4jto training, evaluation, and deployment via APIs. You will work with cutting-edge technologies, including Stanford NLP and large language models like Llama 3.2, to develop innovative solutions that drive our business forward. Key Responsibilities ML Model Development & Optimization : Design, develop, and implement robust machine learning models using Python and its associated libraries. You will be responsible for the end-to-end model lifecycle, including data preprocessing, feature engineering, model training, and performance evaluation. Deep Learning & NLP Utilize your expertise in deep learning with PyTorch to build and fine-tune complex neural networks. A key focus will be on Natural Language Processing (NLP) tasks, leveraging the Stanford NLP library for tasks such as sentiment analysis, named entity recognition, and coreference resolution. Large Language Models (LLMs) Stay at the forefront of AI by working with and fine-tuning large language models, specifically Llama 3.2. You will explore and implement its capabilities for tasks such as text generation, summarization, and question answering. Data Engineering & Analytics Conduct in-depth data analysis and handle complex data pipelines. This includes robust JSON extraction, transformation of semi-structured data, and modeling complex relationships using graph databases like Neo4j to build knowledge graphs that feed our ML systems. API Development & Deployment Develop and maintain scalable RESTful APIs to serve machine learning models in a production environment. Collaborate with our engineering teams to ensure seamless integration and contribute to our MLOps practices for scalability and reliability. Research & Innovation Stay current with the latest advancements in machine learning, deep learning, and NLP. Proactively identify and champion new technologies and techniques that can enhance our products and processes. Qualifications And Skills Educational Background : A Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Bachelor's degree with significant relevant experience will also be considered. Programming Proficiency : Expert-level programming skills in Python and a strong command of its data science and machine learning ecosystem (e.g., Pandas, NumPy, Scikit-learn). Deep Learning Expertise : Proven experience in building and deploying deep learning models using PyTorch. Natural Language Processing (NLP) : Demonstrable experience with NLP techniques and libraries, with specific expertise in using the Stanford NLP toolkit. Large Language Models (LLMs) : Hands-on experience with and a strong understanding of large language models, including practical experience with models like Llama 3.2. Data Handling : Strong proficiency in handling and parsing various data formats, with specific experience in JSON extraction and manipulation. API Development : Solid experience in developing and deploying models via RESTful APIs using frameworks like Flask, FastAPI, or Django. Graph Database Knowledge : Experience with graph databases, particularly Neo4j, and understanding of graph data modeling and querying (Cypher). Problem-Solving Skills : Excellent analytical and problem-solving abilities with a talent for tackling complex and ambiguous challenges. Preferred Qualifications Published research in top-tier machine learning or NLP conferences. Experience with MLOps tools and cloud platforms (e.g., AWS, GCP, Azure). Familiarity with other NLP libraries and frameworks (e.g., spaCy, Hugging Face Transformers). Contributions to open-source machine learning projects. (ref:hirist.tech)

We run a recruitment agency and help our clients hire top 1% talent. Our client seeks Data Scientists to write, review, and validate prompt-based questions designed to train AI. Overview 💲 Pay – $55–$75 per hour 🕒 Flexible workload : 10–20 hours per week, with potential to increase to 40 hours 🌍 Fully remote and asynchronous — work on your schedule 📅 Minimum duration : 1–2 months, with potential for extension Your expertise in statistical modeling , machine learning , data pipelines , and analytical reasoning will ensure that each prompt and response is technically sound and reflects industry best practices. We welcome tech, healthcare, finance, and research professionals to contribute to AI training content rooted in real-world data challenges. You'll help shape how advanced AI systems understand and solve data science problems. You are a good fit if you: Have over 3+ years of professional experience in data science or applied analytics Hold a bachelor's degree in data science, statistics, computer science, or a related field Demonstrate excellent verbal and written communication skills Have strong attention to detail and analytical reasoning Strong knowledge in one or more of: Exploratory data analysis and statistical inference Machine learning workflows and model evaluation Data preprocessing / wrangling / feature engineering A/B testing, experimentation, or causal inference Preferred Qualifications Experience with Python, SQL, Jupyter, scikit-learn, pandas, TensorFlow/PyTorch

Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an Application Designer, you will assist in defining requirements and designing applications to meet business process and application requirements. A typical day involves collaborating with various stakeholders to gather insights, analyzing user needs, and translating them into functional specifications. You will engage in discussions to refine application designs, ensuring they align with business objectives while also considering user experience and technical feasibility. Your role will require you to balance creativity with analytical thinking, as you work to create solutions that are both innovative and practical. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing sessions to enhance team capabilities. - Monitor project progress and ensure alignment with business goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning. - Strong understanding of various machine learning algorithms and their applications. - Experience with data preprocessing and feature engineering techniques. - Familiarity with programming languages such as Python or R for model development. - Ability to work with data visualization tools to present findings effectively. Additional Information: - The candidate should have minimum 5 years of experience in Machine Learning. - This position is based at our Chennai office. - A 15 years full time education is required. 15 years full time education

Gen AI + Python with ML Fresher :- Job Summary: We are seeking curious and motivated freshers or recent graduates to join our team as Gen AI + Python with ML Trainees . This is an entry-level opportunity to gain hands-on experience working on cutting-edge technologies such as Generative AI, Large Language Models (LLMs), Python development , and Machine Learning . You'll work alongside experienced AI engineers and contribute to real-world AI solutions. Key Responsibilities: Learn and apply Generative AI concepts like text generation, embeddings, image generation, prompt engineering, etc. Assist in building, testing, and fine-tuning LLMs (e.g., GPT, BERT, LLaMA) using Python. Write efficient Python code for ML pipelines, model training, and evaluation. Perform data preprocessing, feature engineering, and exploratory data analysis (EDA). Support the development of AI-powered applications using frameworks like LangChain , Hugging Face , or OpenAI APIs . Document model behavior, limitations, and performance metrics. Collaborate in R&D projects to explore and experiment with new GenAI capabilities. Required Skills & Qualifications: Bachelor’s degree in Computer Science, AI, Data Science, Engineering, or related fields . Solid understanding of Python programming and basic data structures. Familiarity with machine learning algorithms (e.g., regression, classification, clustering). Exposure to data science libraries: NumPy, Pandas, Scikit-learn, Matplotlib . Interest in Generative AI , LLMs , and transformer-based architectures . Strong problem-solving attitude and willingness to learn rapidly. Preferred (Not Mandatory): Projects or coursework involving ChatGPT, DALL·E, BERT, GPT-3/4 , etc. Knowledge of NLP , Deep Learning (TensorFlow/Keras/PyTorch) . Experience with APIs like OpenAI, Hugging Face Transformers, Cohere , etc. Familiarity with tools such as Jupyter Notebooks, GitHub, VS Code. Understanding of prompt engineering and tokenization.

Adani Digital Labs is the digital arm of the Adani Group, focused on driving digital transformation across all Adani businesses. The lab leverages cutting-edge technologies such as AI, ML, data analytics, cloud computing, and automation to enhance customer experience, streamline operations, and enable innovation. With a strong emphasis on building scalable digital platforms and customer-centric solutions, Adani Digital Labs plays a pivotal role in shaping the group's digital strategy across sectors like energy, infrastructure, logistics, airports, and more. Job Title: Data Scientist Location Ahmedabad The Opportunity: We’re looking for a talented Data Scientist enthusiast who uses analytical, statistical, and programming skills to collect large data sets & develop data-driven solutions Technical Skills - Language: Python - Proficiency in data mining, mathematics, and statistical analysis - Machine learning techniques and algorithms, with good expertise in optimization - Cloud: GCP (Preferred) /Azure - Data-oriented personality Ideally, you should have: 04 to 06 years of proven experience as a Data Scientist - Identify valuable data sources and automate collection processes - Undertake preprocessing of structured and unstructured data - Analyze large amounts of information to discover trends and patterns - Run optimization algorithms to identify the best solution (Linear Programming expertise required) - Build predictive models and machine-learning algorithms - Combine models through ensemble modeling - Present information using data visualization techniques - Proficiency in Python and Machine Learning. - Experience with Generative AI and Agentic AI models. - Strong analytical mind and business acumen. - Excellent problem-solving aptitude.